| Title |
Centre for Addiction and Mental Health Inventory of Gambling Situations: Evaluation of the Factor Structure, Reliability, and External Correlations
|
|---|---|
| Published in |
International Journal of Mental Health and Addiction, July 2013
|
| DOI | 10.1007/s11469-013-9446-1 |
| Pubmed ID | |
| Authors |
Nigel E. Turner, Nina Littman-Sharp, Tony Toneatto, Eleanor Liu, Peter Ferentzy |
| Abstract |
The development and evaluation of the Centre for Addiction and Mental Health Inventory of Gambling Situations (CAMH-IGS) is described. The CAMH-IGS is based on a cognitive-behavioural approach to addiction that sees excessive gambling as a pattern of behaviour which is learned, and which can be changed. The CAMH-IGS is designed to determine the patterns of behaviour, thoughts or feelings which may trigger problematic gambling, with the goal of developing tailored treatment and relapse-prevention approaches for clients. The information can be used in treatment planning. A sample of 524 gamblers that included 323 problem and probable pathological gamblers was used to evaluate the factor structure, reliability, and external correlations of the CAMH-IGS. The results show that the CAMH-IGS consists of 10 internally reliable subscales that can identify individual differences between clients. |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 31 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 5 | 16% |
| Student > Ph. D. Student | 4 | 13% |
| Other | 3 | 10% |
| Researcher | 3 | 10% |
| Student > Doctoral Student | 2 | 6% |
| Other | 4 | 13% |
| Unknown | 10 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 11 | 35% |
| Social Sciences | 3 | 10% |
| Medicine and Dentistry | 2 | 6% |
| Agricultural and Biological Sciences | 1 | 3% |
| Computer Science | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 13 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 26 August 2016.
All research outputs
#16,223,992
of 23,911,072 outputs
Outputs from International Journal of Mental Health and Addiction
#625
of 1,003 outputs
Outputs of similar age
#123,383
of 197,536 outputs
Outputs of similar age from International Journal of Mental Health and Addiction
#5
of 8 outputs
Altmetric has tracked 23,911,072 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,003 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one is in the 20th percentile – i.e., 20% of its peers scored the same or lower than it.
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We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.